About this job

This role focuses on HR Analytics and AI-enabled data analysis, supporting HR leadership with clear insights, analytical recommendations and data-driven decision-making. The position combines exploratory data analysis, Python and SQL-based analytics, AI-supported methods, data visualization, dashboarding and collaboration with delivery teams.

Key Responsibilities

Analytics & AI — core focus

• Perform exploratory data analysis, EDA, on HR datasets to uncover trends, drivers and anomalies. 
• Use AI-enabled analytics tools and Python-based methods to accelerate data exploration and insight generation. 
• Translate business questions into analytical hypotheses and investigations. 
• Interpret analytical and model outputs, including assumptions, limitations and uncertainty. 
• Ensure reproducibility, transparency and documentation of analytical work. 

Insight Communication & Decision Support

• Prepare clear analytical outputs and visualizations to communicate findings to stakeholders. 
• Support the definition of KPIs and analytical concepts for management decision-making. 
• Translate analytical results into clear recommendations for HR leadership. 

Data & Delivery Enablement

• Clean, structure and validate data from multiple HR systems. 
• Contribute to dashboard and reporting solutions, such as Power BI and SAC, in collaboration with delivery teams. 
• Ensure compliance with data protection, Works Council and regulatory requirements, such as GDPR. 
• Identify improvement opportunities in HR processes based on data insights. 
• Contribute to HR analytics standards, templates and best practices. 
• Support the continuous development of the HR Analytics team. 

Must Have

• Strong data understanding and analytical thinking, with the ability to structure problems and ask the right questions. 
• Hands-on experience with Python and SQL for data analysis, exploration and automation. 
• Experience working with AI-enabled analytics or advanced analytical methods, such as using AI features in BI tools, applying Python-based analytics or contributing to AI-supported use cases. 
• Solid understanding of statistics fundamentals, such as bias, correlation vs. causation and basic experimentation concepts. 
• Ability to interpret analytical results and model outputs, including limitations and confidence. 
• Experience with data visualization tools, such as Power BI, to communicate insights effectively. 
• Strong communication skills and the ability to explain analytical findings in plain language. 
• Strong data quality mindset, with attention to validation and documentation. 
• Experience working with sensitive data and high confidentiality standards. 
• Very good English skills; German is an advantage. 

Nice to Have / Can Be Developed

• Hands-on experience building or applying ML/AI techniques, such as forecasting, clustering, classification or NLP. 
• Deeper HR domain knowledge, such as workforce planning, talent, learning or engagement. 
• Experience with HR systems and data models, such as SAP SuccessFactors, Employee Central, SNOW, Eightfold or CHRIS. 
• Experience with skills/taxonomy data and skill management approaches. 
• Experience leading end-to-end analytics or dashboard projects. 
• Knowledge of HR compliance topics, such as GDPR and Works Council processes. 
• Exposure to CSRD and its implications for HR data and HRIT. 
• Experience contributing to responsible AI practices beyond basic usage.